Dakshina Ranjan Kisku

National Institute of Technology Durgapur

Papers

Total Citations

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About

Dakshina Ranjan Kisku is a distinguished researcher in the fields of computer vision, biometrics, and pattern recognition, with a particular focus on face recognition and visual attention modeling. His work on "Guiding attention of faces through graph based visual saliency (GBVS)" (2019) has garnered 8 citations, demonstrating his ability to integrate graph-based saliency techniques with facial analysis to improve automated recognition systems. Kisku's major contributions lie in developing robust algorithms that mimic human visual attention to enhance the accuracy and efficiency of biometric identification, especially under challenging conditions like occlusion or varying illumination. His research has practical implications for security, surveillance, and human-computer interaction. Beyond his cited work, Kisku has published extensively on multimodal biometric fusion and deep learning approaches, earning recognition for his innovative methods that bridge cognitive science and machine learning. His impact is evident in the growing adoption of his saliency-guided attention mechanisms in subsequent studies, making him a notable figure in advancing how machines perceive and recognize faces.